[英]How to run the python interpreter from a virtualenv using pybind11?
我正在尝试使用pybind11库从称为env_tensorflow的python环境中执行python解释器。
即使我包含了cpp文件并将其链接到该环境( env_tensorflow )中包含的pybind11库,解释器也会将其二进制路径打印为:
在/ usr / bin中/ python3
但是,我希望输出为:
/ home / user中/ miniconda3 / ENVS / env_tensorflow /斌/ python3
我究竟做错了什么? 如何从特定环境运行python解释器?
main.cpp中
#include "/home/user/miniconda3/envs/env_tensorflow/include/python3.6m/Python.h"
#include "/home/user/miniconda3/envs/env_tensorflow/include/python3.6m/pybind11/pybind11.h"
#include "/home/user/miniconda3/envs/env_tensorflow/include/python3.6m/pybind11/embed.h"
namespace py = pybind11;
int main() {
py::scoped_interpreter guard{};
py::module sys = py::module::import("sys");
py::print(sys.attr("executable"));
//prints: /usr/bin/python3
//expected print: /home/user/miniconda3/envs/env_tensorflow/bin/python3
return 0;
}
的CMakeLists.txt
cmake_minimum_required(VERSION 3.12)
project(my_proj)
set(CMAKE_CXX_STANDARD 11)
add_library(my_python3.6m SHARED IMPORTED)
set_target_properties(my_python3.6m PROPERTIES
IMPORTED_LOCATION "/home/user/miniconda3/envs/env_tensorflow/lib/libpython3.6m.so"
INTERFACE_INCLUDE_DIRECTORIES "/home/user/miniconda3/envs/env_tensorflow/include/python3.6m/"
)
add_executable(my_proj main.cpp)
target_link_libraries(my_proj my_python3.6m)
您需要激活Conda环境:
source activate env_tensorflow
完成此操作后,您应该能够使用正确的Python解释器运行cmake,make和您的应用程序。 您可能不需要CMake中的python3.6m
目标,只要在构建过程中环境处于活动状态,就可以python3.6m
链接到python3.6m
。
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